Automatic Segmentation And Classification Of Internal Calibration Tissues
| but.event.date | 27.04.2017 | cs |
| but.event.title | Student EEICT 2017 | cs |
| dc.contributor.author | Šalplachta, Jakub | |
| dc.date.accessioned | 2020-05-07T09:40:26Z | |
| dc.date.available | 2020-05-07T09:40:26Z | |
| dc.date.issued | 2017 | cs |
| dc.description.abstract | The aim of this work is finding a way to make calculation of bone mineral density of vertebrae with the use of internal calibration tissues fully automatic procedure. To accomplish that several methods for segmentation and classification of paraspinal muscle and subcutaneous fat were tested. For the testing and learning procedure of this work manually labelled database of tissues of interest was created and medically verified. | en |
| dc.format | text | cs |
| dc.format.extent | 161-163 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings of the 23st Conference STUDENT EEICT 2017. s. 161-163. ISBN 978-80-214-5496-5 | cs |
| dc.identifier.isbn | 978-80-214-5496-5 | |
| dc.identifier.uri | http://hdl.handle.net/11012/187069 | |
| dc.language.iso | cs | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings of the 23st Conference STUDENT EEICT 2017 | en |
| dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | computed tomography | en |
| dc.subject | texture analysis | en |
| dc.subject | cluster analysis | en |
| dc.subject | random forest classification | en |
| dc.subject | principal component analysis | en |
| dc.subject | bone mineral density | en |
| dc.title | Automatic Segmentation And Classification Of Internal Calibration Tissues | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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